NumPyMinimumEigensolver

class NumPyMinimumEigensolver(operator=None, aux_operators=None, filter_criterion=None)

Bases: qiskit.aqua.algorithms.classical_algorithm.ClassicalAlgorithm, qiskit.aqua.algorithms.minimum_eigen_solvers.minimum_eigen_solver.MinimumEigensolver

The Numpy Minimum Eigensolver algorithm.

Parameters

• operator (Union[OperatorBase, LegacyBaseOperator, None]) – Operator instance

• aux_operators (Optional[List[Union[OperatorBase, LegacyBaseOperator, None]]]) – Auxiliary operators to be evaluated at minimum eigenvalue

• filter_criterion (Optional[Callable[[Union[List, ndarray], float, Optional[List[float]]], bool]]) – callable that allows to filter eigenvalues/eigenstates. The minimum eigensolver is only searching over feasible states and returns an eigenstate that has the smallest eigenvalue among feasible states. The callable has the signature filter(eigenstate, eigenvalue, aux_values) and must return a boolean to indicate whether to consider this value or not. If there is no feasible element, the result can even be empty.

Methods

compute_minimum_eigenvalue	Computes minimum eigenvalue.
run	Execute the classical algorithm.
supports_aux_operators	Whether computing the expectation value of auxiliary operators is supported.

Attributes

aux_operators

Return type

Optional[List[Optional[OperatorBase]]]

filter_criterion

returns the filter criterion if set

Return type

Optional[Callable[[Union[List, ndarray], float, Optional[List[float]]], bool]]

operator

Return type

Optional[OperatorBase]

random

Return a numpy random.